Results 31 to 40 of about 12,627 (258)
Synergistic Saliency and Depth Prediction for RGB-D Saliency Detection [PDF]
, 2021 Depth information available from an RGB-D camera can be useful in segmenting salient objects when figure/ground cues from RGB channels are weak. This has motivated the development of several RGB-D saliency datasets and algorithms that use all four channels of the RGB-D data for both training and inference.
Yue Wang 0038 +5 more
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A Local Texture-Based Superpixel Feature Coding for Saliency Detection Combined with Global Saliency
Applied Sciences, 2015 Because saliency can be used as the prior knowledge of image content, saliency detection has been an active research area in image segmentation, object detection, image semantic understanding and other relevant image-based applications.
Bingfei Nan +3 more
doaj +1 more source
A Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image [PDF]
AUT Journal of Electrical Engineering, 2019 Saliency regions attract more human’s attention than other regions in an image. Low- level and high-level features are utilized in saliency region detection.
Sekine Asadi Amiri, Hamid Hassanpour
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Maritime Target Detection Based on Eagle Optic Tectum Response and Contrast Sense [PDF]
Hangkong bingqi, 2022 Aim at the scene of maritime target detection task, by referring to the double fovea structure of eagle eye,the contrast sense is constructed and the neural response of eagle brain is simulated,and a maritime target detection algorithm based on eagle ...
Hu Shuang, Deng Yimin
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Improving RGBD Saliency Detection Using Progressive Region Classification and Saliency Fusion
IEEE Access, 2016 This paper proposes an effective method to improve the saliency detection performance of existing RGBD (RGB image with Depth map) saliency models. First, a progressive region classification method is proposed to collect training samples at coarse scale ...
Huan Du +4 more
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Pyramidal Attention for Saliency Detection
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Accepted at CVPRW 2022. (2022 IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision)
Tanveer Hussain 0001 +4 more
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IEEE Access, 2022 Techniques for detecting salient objects mimic human behavior by recognizing the most noticeable parts of images as objects. Salient object detection has attracted many researchers’ attention nowadays for various computer vision and pattern ...
Bhagyashree V. Lad +2 more
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IEEE Access, 2020 Ship detection is of considerable significance in both military and civilian application domains. Deep Convolutional Neural Network (DCNN) with region proposal mechanism, e.g., Faster R-CNN, performs outstandingly in ship detection with high-resolution ...
Zezhong Li, Yanan You, Fang Liu
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Learning Static-Adaptive Graphs for RGB-T Image Saliency Detection
Information, 2022 Many works have been proposed on image saliency detection to handle challenging issues including low illumination, cluttered background, low contrast, and so on. Although good performance has been achieved by these algorithms, detection results are still
Zhengmei Xu +3 more
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Mutual Guidance-Based Saliency Propagation for Infrared Pedestrian Images
IEEE Access, 2019 Saliency detection is important in computer vision. However, most of the existing saliency models are designed for visible images. It is still a challenging problem to apply saliency detection algorithms on infrared images.
Yu Zheng +4 more
doaj +1 more source